How is AI Used in Risk Management in Banks?

AI is utilized in risk management in banks by analyzing vast amounts of data to identify patterns, predict potential risks, and optimize decision-making processes. Machine learning algorithms can assess borrower creditworthiness, detect fraudulent activities, and monitor market fluctuations in real-time. By leveraging AI, banks can enhance their risk assessment capabilities, mitigate financial risks, and ensure regulatory compliance more effectively.

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